Name
Title | ||
|---|---|---|
A New Discriminative Sparse Representation Method for Robust Face Recognition via l2 Regularization |
Abstract | ||
|---|---|---|
Sparse representation has shown an attractive performance in a number of applications. However, the available sparse representation methods still suffer from some problems, and it is necessary to design more efficient methods. Particularly, to design a computationally inexpensive, easily solvable, and robust sparse representation method is a significant task. In this paper, we explore the issue of... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNNLS.2016.2580572 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Training,Linear programming,Robustness,Face recognition,Algorithm design and analysis,Closed-form solutions,Matching pursuit algorithms | Journal | 28 |
Issue | ISSN | Citations |
10 | 2162-237X | 13 |
PageRank | References | Authors |
0.53 | 24 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xu Yong | 1 | 2119 | 73.51 |
| Zhong Zuofeng | 2 | 62 | 4.56 |
| Jian Yang | 3 | 6102 | 339.77 |
| Jane You | 4 | 1885 | 136.93 |
| David Zhang | 5 | 7365 | 360.85 |